Hopfield neural network: The hyperbolic tangent and the piecewise-linear activation functions

被引：63
作者：
Mathias, Amanda C. [1 ]
Rech, Paulo C. [1 ]
机构：
[1] Univ Estado Santa Catarina, Dept Fis, BR-89219710 Joinville, Brazil
来源：
NEURAL NETWORKS | 2012年 / 34卷
关键词：
Hopfield neural network; Parameter-space; Lyapunov exponents; PARAMETER-SPACE; CIRCUIT;
D O I：
10.1016/j.neunet.2012.06.006
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper reports two-dimensional parameter-space plots for both, the hyperbolic tangent and the piecewise-linear neuron activation functions of a three-dimensional Hopfield neural network. The plots obtained using both neuron activation functions are compared, and we show that similar features are present on them. The occurrence of self-organized periodic structures embedded in chaotic regions is verified for the two cases. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：42 / 45
页数：4
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